IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v141y2019icp368-378.html
   My bibliography  Save this article

Performance analysis of a grid-connected photovoltaic park after 6 years of operation

Author

Listed:
  • Roumpakias, Elias
  • Stamatelos, Anastassios

Abstract

The growth of renewable energy and especially photovoltaic energy in Greece is remarkable. There exist many grid-connected systems in Greek territory which have completed ten years operation. A challenging task for these systems is performance analysis, investigation of possible degradation in systems efficiency and formulation of a detailed solar potential record for each region. This paper focuses in the performance of a grid-connected PV system in central Greece which has completed six years’ operation. The analysis methodology is based on three axes. The first is a calculation of the daily PR and yearly PR and their comparison for the 6 years of operation. The daily PR is further correlated with the averaged clearness index in order to assess the atmospheric effect on the PV performance. The second axis involves the application of a mathematic model, which describes PV power, to the available data. Computed values act as the reference values and deviation of the measured values thereof hint to probable changes in PV system performance. The third axis involves the computation of normalized efficiency to STC conditions. This includes (i) the computation of DC power from available AC data and inverters’ efficiency, (ii) temperature normalization according to the temperature coefficients of manufacturer and (iii) comparison of efficiency at various weather conditions and computation of yearly average values, respectively, with Airmass. The analysis results hint to a small performance deterioration over the years, with degradation rates ranging from 1 to 4%.

Suggested Citation

  • Roumpakias, Elias & Stamatelos, Anastassios, 2019. "Performance analysis of a grid-connected photovoltaic park after 6 years of operation," Renewable Energy, Elsevier, vol. 141(C), pages 368-378.
    • Handle: RePEc:eee:renene:v:141:y:2019:i:c:p:368-378
    DOI: 10.1016/j.renene.2019.04.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119304902
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.04.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Limmanee, Amornrat & Songtrai, Sasiwimon & Udomdachanut, Nuttakarn & Kaewniyompanit, Songpakit & Sato, Yukinobu & Nakaishi, Masaki & Kittisontirak, Songkiate & Sriprapha, Kobsak & Sakamoto, Yukitaka, 2017. "Degradation analysis of photovoltaic modules under tropical climatic conditions and its impacts on LCOE," Renewable Energy, Elsevier, vol. 102(PA), pages 199-204.
    2. Mavromatakis, F. & Makrides, G. & Georghiou, G. & Pothrakis, A. & Franghiadakis, Y. & Drakakis, E. & Koudoumas, E., 2010. "Modeling the photovoltaic potential of a site," Renewable Energy, Elsevier, vol. 35(7), pages 1387-1390.
    3. Phinikarides, Alexander & Kindyni, Nitsa & Makrides, George & Georghiou, George E., 2014. "Review of photovoltaic degradation rate methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 143-152.
    4. Milosavljević, Dragana D. & Pavlović, Tomislav M. & Piršl, Danica S., 2015. "Performance analysis of A grid-connected solar PV plant in Niš, republic of Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 423-435.
    5. Cervone, Guido & Clemente-Harding, Laura & Alessandrini, Stefano & Delle Monache, Luca, 2017. "Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble," Renewable Energy, Elsevier, vol. 108(C), pages 274-286.
    6. Skoplaki, E. & Palyvos, J.A., 2009. "Operating temperature of photovoltaic modules: A survey of pertinent correlations," Renewable Energy, Elsevier, vol. 34(1), pages 23-29.
    7. Tanesab, Julius & Parlevliet, David & Whale, Jonathan & Urmee, Tania, 2017. "Seasonal effect of dust on the degradation of PV modules performance deployed in different climate areas," Renewable Energy, Elsevier, vol. 111(C), pages 105-115.
    8. Roumpakias, Elias & Zogou, Olympia & Stamatelos, Anastassios, 2015. "Correlation of actual efficiency of photovoltaic panels with air mass," Renewable Energy, Elsevier, vol. 74(C), pages 70-77.
    9. Graditi, G. & Ferlito, S. & Adinolfi, G., 2016. "Comparison of Photovoltaic plant power production prediction methods using a large measured dataset," Renewable Energy, Elsevier, vol. 90(C), pages 513-519.
    10. Wittkopf, Stephen & Valliappan, Selvam & Liu, Lingyun & Ang, Kian Seng & Cheng, Seng Chye Jonathan, 2012. "Analytical performance monitoring of a 142.5kWp grid-connected rooftop BIPV system in Singapore," Renewable Energy, Elsevier, vol. 47(C), pages 9-20.
    11. Balaska, Amira & Tahri, Ali & Tahri, Fatima & Stambouli, Amine Boudghene, 2017. "Performance assessment of five different photovoltaic module technologies under outdoor conditions in Algeria," Renewable Energy, Elsevier, vol. 107(C), pages 53-60.
    12. Ozden, Talat & Akinoglu, Bulent G. & Turan, Rasit, 2017. "Long term outdoor performances of three different on-grid PV arrays in central Anatolia – An extended analysis," Renewable Energy, Elsevier, vol. 101(C), pages 182-195.
    13. Chandel, S.S. & Nagaraju Naik, M. & Sharma, Vikrant & Chandel, Rahul, 2015. "Degradation analysis of 28 year field exposed mono-c-Si photovoltaic modules of a direct coupled solar water pumping system in western Himalayan region of India," Renewable Energy, Elsevier, vol. 78(C), pages 193-202.
    14. Bianchini, Augusto & Gambuti, Michele & Pellegrini, Marco & Saccani, Cesare, 2016. "Performance analysis and economic assessment of different photovoltaic technologies based on experimental measurements," Renewable Energy, Elsevier, vol. 85(C), pages 1-11.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ali, Hayder & Khan, Hassan Abbas, 2020. "Techno-economic evaluation of two 42 kWp polycrystalline-Si and CIS thin-film based PV rooftop systems in Pakistan," Renewable Energy, Elsevier, vol. 152(C), pages 347-357.
    2. Saleheen, Mohammed Zeehan & Salema, Arshad Adam & Mominul Islam, Shah Mohammad & Sarimuthu, Charles R. & Hasan, Md Zobaer, 2021. "A target-oriented performance assessment and model development of a grid-connected solar PV (GCPV) system for a commercial building in Malaysia," Renewable Energy, Elsevier, vol. 171(C), pages 371-382.
    3. Elias Roumpakias & Tassos Stamatelos, 2020. "Surface Dust and Aerosol Effects on the Performance of Grid-Connected Photovoltaic Systems," Sustainability, MDPI, vol. 12(2), pages 1-18, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bouaichi, Abdellatif & El Amrani, Aumeur & Ouhadou, Malika & Lfakir, Aberrazak & Messaoudi, Choukri, 2020. "In-situ performance and degradation of three different photovoltaic module technologies installed in arid climate of Morocco," Energy, Elsevier, vol. 190(C).
    2. Savvakis, Nikolaos & Tsoutsos, Theocharis, 2015. "Performance assessment of a thin film photovoltaic system under actual Mediterranean climate conditions in the island of Crete," Energy, Elsevier, vol. 90(P2), pages 1435-1455.
    3. Kumar, Manish & Kumar, Arun, 2017. "Performance assessment and degradation analysis of solar photovoltaic technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 554-587.
    4. Silvestre, Santiago & Tahri, Ali & Tahri, Fatima & Benlebna, Soumiya & Chouder, Aissa, 2018. "Evaluation of the performance and degradation of crystalline silicon-based photovoltaic modules in the Saharan environment," Energy, Elsevier, vol. 152(C), pages 57-63.
    5. Edalati, Saeed & Ameri, Mehran & Iranmanesh, Masoud, 2015. "Comparative performance investigation of mono- and poly-crystalline silicon photovoltaic modules for use in grid-connected photovoltaic systems in dry climates," Applied Energy, Elsevier, vol. 160(C), pages 255-265.
    6. Dupraz, C. & Marrou, H. & Talbot, G. & Dufour, L. & Nogier, A. & Ferard, Y., 2011. "Combining solar photovoltaic panels and food crops for optimising land use: Towards new agrivoltaic schemes," Renewable Energy, Elsevier, vol. 36(10), pages 2725-2732.
    7. Kichou, Sofiane & Silvestre, Santiago & Nofuentes, Gustavo & Torres-Ramírez, Miguel & Chouder, Aissa & Guasch, Daniel, 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure," Energy, Elsevier, vol. 96(C), pages 231-241.
    8. Ameur, Arechkik & Berrada, Asmae & Bouaichi, Abdellatif & Loudiyi, Khalid, 2022. "Long-term performance and degradation analysis of different PV modules under temperate climate," Renewable Energy, Elsevier, vol. 188(C), pages 37-51.
    9. Pillot, Benjamin & de Siqueira, Sandro & Dias, João Batista, 2018. "Grid parity analysis of distributed PV generation using Monte Carlo approach: The Brazilian case," Renewable Energy, Elsevier, vol. 127(C), pages 974-988.
    10. Ramgolam, Yatindra Kumar & Soyjaudah, Krishnaraj Madhavjee Sunjiv, 2017. "Holistic performance appraisal of a photovoltaic system," Renewable Energy, Elsevier, vol. 109(C), pages 440-448.
    11. Bai, Attila & Popp, József & Balogh, Péter & Gabnai, Zoltán & Pályi, Béla & Farkas, István & Pintér, Gábor & Zsiborács, Henrik, 2016. "Technical and economic effects of cooling of monocrystalline photovoltaic modules under Hungarian conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1086-1099.
    12. Bouaichi, Abdellatif & Alami Merrouni, Ahmed & Hajjaj, Charaf & Messaoudi, Choukri & Ghennioui, Abdellatif & Benlarabi, Ahmed & Ikken, Badr & El Amrani, Aumeur & Zitouni, Houssin, 2019. "In-situ evaluation of the early PV module degradation of various technologies under harsh climatic conditions: The case of Morocco," Renewable Energy, Elsevier, vol. 143(C), pages 1500-1518.
    13. Peinado Gonzalo, Alfredo & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2020. "Survey of maintenance management for photovoltaic power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    14. Atsu, Divine & Seres, Istvan & Aghaei, Mohammadreza & Farkas, Istvan, 2020. "Analysis of long-term performance and reliability of PV modules under tropical climatic conditions in sub-Saharan," Renewable Energy, Elsevier, vol. 162(C), pages 285-295.
    15. Hyung Keun Ahn & Neungsoo Park, 2021. "Deep RNN-Based Photovoltaic Power Short-Term Forecast Using Power IoT Sensors," Energies, MDPI, vol. 14(2), pages 1-17, January.
    16. Hasan, Ahmed & Sarwar, Jawad & Shah, Ali Hasan, 2018. "Concentrated photovoltaic: A review of thermal aspects, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 835-852.
    17. Hassan Daher, Daha & Gaillard, Léon & Ménézo, Christophe, 2022. "Experimental assessment of long-term performance degradation for a PV power plant operating in a desert maritime climate," Renewable Energy, Elsevier, vol. 187(C), pages 44-55.
    18. Schröder, M. & Abdin, Z. & Mérida, W., 2020. "Optimization of distributed energy resources for electric vehicle charging and fuel cell vehicle refueling," Applied Energy, Elsevier, vol. 277(C).
    19. Yadav, Amit Kumar & Chandel, S.S., 2017. "Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 955-969.
    20. Li, Chengdong & Zhou, Changgeng & Peng, Wei & Lv, Yisheng & Luo, Xin, 2020. "Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method," Energy, Elsevier, vol. 212(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:141:y:2019:i:c:p:368-378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.